NotesFAQContact Us
Collection
Advanced
Search Tips
Education Level
Postsecondary Education13
Higher Education12
Secondary Education3
Elementary Education1
High Schools1
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
van Dorresteijn, Chevy; Kan, Kees-Jan; Smits, Niels – Assessment & Evaluation in Higher Education, 2023
When higher education students are assessed multiple times, teachers need to consider how these assessments can be combined into a single pass or fail decision. A common question that arises is whether students should be allowed to take a resit. Previous research has found little to no clear learning benefits of resits and therefore suggested they…
Descriptors: College Students, Student Evaluation, Pretests Posttests, Regression (Statistics)
Peer reviewed Peer reviewed
Direct linkDirect link
Kun Yan; Li Wei; Kaiming Bu; Jiahui Zhang – Asia-Pacific Education Researcher, 2024
Although most gifted education programs have included undergraduate research (UGR) in their training plans, scholars have not reached a consensus on UGR's effectiveness, especially for gifted college students. With a sample of 7460 students from 15 studies conducted worldwide during 1985-2022, this study explores the relationship between research…
Descriptors: College Students, Academically Gifted, Student Research, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Mulligan, Neil W.; Buchin, Zachary L.; West, John T. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
The testing effect is 1 of several memory effects moderated by experimental design, such that the effect on free recall is larger in a mixed-list than pure-list design (Mulligan, Susser, & Smith, 2016). The current experiments assess hypotheses regarding why this pattern is found. Three extant accounts of design effects (Nguyen & McDaniel,…
Descriptors: Testing, Research Design, Recall (Psychology), Memory
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Karasah-Çakici, Sadiye; Kol, Özge; Yaman, Süleyman – Journal of Theoretical Educational Science, 2021
In this research, a meta-analysis was conducted to find out the effect level of STEM education on students' academic achievement in science courses. Scientific studies which were conducted and published in Turkey between January 2018 and March 2020 were reviewed in the research. As a result of the literature review, 54 studies that were suitable…
Descriptors: STEM Education, Academic Achievement, Science Achievement, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Adesope, Olusola O.; Trevisan, Dominic A.; Sundararajan, Narayankripa – Review of Educational Research, 2017
The testing effect is a well-known concept referring to gains in learning and retention that can occur when students take a practice test on studied material before taking a final test on the same material. Research demonstrates that students who take practice tests often outperform students in nontesting learning conditions such as restudying,…
Descriptors: Test Use, Meta Analysis, Effect Size, Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Broton, Katharine M.; Goldrick-Rab, Sara; Benson, James – Educational Evaluation and Policy Analysis, 2016
One way in which financial aid is thought to promote college success is by minimizing the time students spend working. Yet, little research has examined if this intended first-order effect occurs, and results are mixed. We leverage a randomized experiment and find that students from low-income families in Wisconsin offered additional grant aid…
Descriptors: Undergraduate Students, Student Financial Aid, Tuition Grants, Student Employment
Peer reviewed Peer reviewed
Direct linkDirect link
Mueller, Christoph Emanuel; Gaus, Hansjoerg – American Journal of Evaluation, 2015
In this article, we test an alternative approach to creating a counterfactual basis for estimating individual and average treatment effects. Instead of using control/comparison groups or before-measures, the so-called Counterfactual as Self-Estimated by Program Participants (CSEPP) relies on program participants' self-estimations of their own…
Descriptors: Intervention, Research Design, Research Methodology, Program Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Haber, Mason G.; Mazzotti, Valerie L.; Mustian, April L.; Rowe, Dawn A.; Bartholomew, Audrey L.; Test, David W.; Fowler, Catherine H. – Review of Educational Research, 2016
Students with disabilities experience poorer post-school outcomes compared with their peers without disabilities. Existing experimental literature on "what works" for improving these outcomes is rare; however, a rapidly growing body of research investigates correlational relationships between experiences in school and post-school…
Descriptors: Meta Analysis, Predictor Variables, Success, Postsecondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
Belland, Brian R.; Walker, Andrew E.; Olsen, Megan Whitney; Leary, Heather – Educational Technology & Society, 2015
This paper employs meta-analysis to determine the influence of computer-based scaffolding characteristics and study and test score quality on cognitive outcomes in science, technology, engineering, and mathematics education at the secondary, college, graduate, and adult levels. Results indicate that (a) computer-based scaffolding positively…
Descriptors: Pilot Projects, Meta Analysis, STEM Education, Scaffolding (Teaching Technique)
Peer reviewed Peer reviewed
Direct linkDirect link
Mueller, Christoph Emanuel; Gaus, Hansjoerg; Rech, Joerg – American Journal of Evaluation, 2014
This article proposes an innovative approach to estimating the counterfactual without the necessity of generating information from either a control group or a before-measure. Building on the idea that program participants are capable of estimating the hypothetical state they would be in had they not participated, the basics of the Roy-Rubin model…
Descriptors: Research Design, Program Evaluation, Research Methodology, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Delice, Ali – Educational Sciences: Theory and Practice, 2010
A concern for generalization dominates quantitative research. For generalizability and repeatability, identification of sample size is essential. The present study investigates 90 qualitative master's theses submitted for the Primary and Secondary School Science and Mathematics Education Departments, Mathematic Education Discipline in 10…
Descriptors: Statistical Analysis, Sampling, Sample Size, Effect Size
Peer reviewed Peer reviewed
Direct linkDirect link
Schmid, Richard F.; Bernard, Robert M.; Borokhovski, Eugene; Tamim, Rana; Abrami, Philip C.; Wade, C. Anne; Surkes, Michael A.; Lowerison, Gretchen – Journal of Computing in Higher Education, 2009
This paper reports the findings of a Stage I meta-analysis exploring the achievement effects of computer-based technology use in higher education classrooms (non-distance education). An extensive literature search revealed more than 6,000 potentially relevant primary empirical studies. Analysis of a representative sample of 231 studies (k = 310)…
Descriptors: Higher Education, Research Design, Effect Size, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Brossart, Daniel F.; Parker, Richard I.; Olson, Elizabeth A.; Mahadevan, Lakshmi – Behavior Modification, 2006
This study explored some practical issues for single-case researchers who rely on visual analysis of graphed data, but who also may consider supplemental use of promising statistical analysis techniques. The study sought to answer three major questions: (a) What is a typical range of effect sizes from these analytic techniques for data from…
Descriptors: Research Design, Effect Size, Evaluation Methods, Researchers